ImRheo provides a new technique to measure the mechanical properties of soft materials, based on image processing and artificial intelligence.
ImRheo’s goal is to develop a cheaper and simpler rheometer, which can be used for applications in food (foams, emulsions, colloids, etc.), cosmetics (gels, creams, foams, etc.), constructions engineering (concrete), petroleum (waxy oil), coating (paints), bioengineering (bioprinters, saliva testing), etc.
The team of physicists and computer scientists uses the discoveries of the past eight years on the flow of rheological materials, and will design software that uses a physics-informed Machine Learning algorithm to measure the rheological properties of liquids (elasticity, plasticity, and viscosity) only with imaging. The goals for this project have been set together with companies active in these application areas.
Location: @Science Park
Breath sensors for pre-symptomatic disease detection Over the past few years, traffic incidents caused by drivers that are under the influence of laughing gas have increased more than ten-fold. Unlike for alcohol and drugs, there is currently no device available that can prove a driver was under the influence of laughing gas. We are developing […]
Products for Daily Life energy. Human bodies need energy in more precise and healthy ways in the current VUCA World. Most of the products available in the market are missing some key needs which will be addressed by this project
At SanguisAI, we are developing a device to measure hemoglobin levels in a fast, inexpensive, painless and waste free manner. This way we can ensure preventative screening and ongoing monitoring and complementing the reactive diagnostic process. We draw on the technique called PPG, which uses the body’s cardiac rhythm and the reflection of the light […]